263 tools for Databricks: Unity Catalog, SQL, Compute, Jobs, Serving, and more.
A comprehensive Model Context Protocol (MCP) server for Databricks, built on the official Databricks Python SDK. Provides 263 tools and 8 prompt templates across 28 service domains, giving AI assistants full access to the Databricks platform. SDK-first: Uses for type safety and automatic API freshness Comprehensive: Covers Unity Catalog, SQL, Compute, Jobs, Pipelines, Serving, Vector Search,…
Inferred from the transports this listing declares (stdio). A client not listed here hasn’t been ruled out — it just isn’t something Forge can confirm.
Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts.
Forge read 0 source files from the published package tarball and matched no MCP tool registrations. Extraction is pattern-based over shipped source: a server that builds its tool list at runtime, or that ships only bundled or minified code, registers nothing this can see. Treat it as “not detected”, not as “exposes none”.
A comprehensive Model Context Protocol (MCP) server for Databricks, built on the official Databricks Python SDK. Provides 263 tools and 8 prompt templates across 28 service domains, giving AI assistants full access to the Databricks platform. SDK-first: Uses for type safety and automatic API freshness Comprehensive: Covers Unity Catalog, SQL, Compute, Jobs, Pipelines, Serving, Vector Search, Apps, Lakebase, Dashboards, Genie, Secrets, IAM, Connections, Experiments, and Delta Sharing Zero custom…
Forge's dependency resolver reads npm metadata only, so this PyPI package has no resolved tree. That is a gap in coverage, not a clean bill of health.